Input into a Neural Network

3. The device of claim 1, wherein the topological patterns of activity indicated by the first indications and the second indications are directed clique patterns of activity.

4. The device of claim 3, wherein the directed clique patterns of activity enclose cavities.

5. The device of claim 1, wherein the data originating from the first sensor is a stream of output data and the data originating from a second sensor is slower changing or static output data.

6. The device of claim 5, further comprising a rate coder configured to rate code the slower changing or static output data and input the rate coded data into the second recurrent artificial neural network at a same time as when the data that originates from the first sensor is input into the first recurrent artificial neural network.

7. The device of claim 1, further comprising means for scaling a magnitude of the data originating from the first sensor prior to receipt by the first recurrent artificial neural network, wherein the scaling is based on the data originating from the second sensor.

8. The device of claim 1, further comprising an input coupled to inject some of the data originating from the first sensor into a node or link of the recurrent neural network, wherein the input includes a delay or a scaling element, wherein a magnitude of the delay or of the scaling is based on the data originating from the second sensor.

9. The device of claim 1, wherein the first indications and the second indications are multi-valued digits and represent a probability that the topological pattern of activity is present in the first recurrent artificial neural network and the second recurrent artificial neural network, respectively.